Integrate the Azure AI Vision API with the Python API

Azure AI Vision

Azure AI Vision is a unified service that offers innovative computer vision capabilities. Give your apps the ability to analyze images, read text, and detect faces with prebuilt image tagging, text extraction with optical character recognition (OCR), and responsible facial recognition. Incorporate vision features into your projects with no machine learning experience required.

Setup the Azure AI Vision API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Azure AI Vision and Python remarkably fast. Free for developers.

Popular Azure AI Vision and Python Actions#

Extract Text from Image with the Azure AI Vision API

Extracts text from the provided image using Azure AI Vision OCR. See the documentation

Try it

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

Try it

Overview of Azure AI Vision#

The Azure AI Vision API provides powerful image analysis capabilities, enabling you to extract information and insights from your visual data. With this API, you can perform tasks like image classification, object detection, and OCR (Optical Character Recognition) to recognize text within images. Leveraging Pipedream, you can integrate these AI-powered insights into your workflows to create dynamic and automated processes.

Connect Azure AI Vision#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    azure_ai_vision: {
      type: "app",
      app: "azure_ai_vision",
    }
  },
  async run({steps, $}) {
    const data = {
      "url": `https://images.unsplash.com/photo-1528459199957-0ff28496a7f6`, //e.g. https://images.unsplash.com/photo-1528459199957-0ff28496a7f6
    }    
    return await axios($, {
      method: "POST",
      url: `${this.azure_ai_vision.$auth.endpoint}computervision/imageanalysis:analyze`,
      params: {
        "api-version": `2023-02-01-preview`,
        features: `read`, //e.g. read
      },
      headers: {
        "Ocp-Apim-Subscription-Key": `${auths.azure_ai_vision.subscription_key}`,
      },
      data,      
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}